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stat.ME2025
Assumption-Lean Differential Variance Inference for Heterogeneous Treatment Effect Detection
Philippe A. Boileau, Hani Zaki, Gabriele Lileikyte +3
The conditional average treatment effect (CATE) is frequently estimated in clinical studies to refute a homogeneous treatment effect hypothesis. Under this regime, all patients mak…
stat.ME2025
Valid post-selection inference for penalized G-estimation
Ajmery Jaman, Ashkan Ertefaie, Michèle Bally +3
Understanding treatment effect heterogeneity is important for decision making in medical and clinical practices, or handling various engineering and marketing challenges. When deal…